Self-Understanding and Self-Extension: A Systems and Representational Approach
2010 (English)In: IEEE T AUTON MENT DE, ISSN 1943-0604, Vol. 2, no 4, 282-303 p.Article in journal (Refereed) Published
There are many different approaches to building a system that can engage in autonomous mental development. In this paper, we present an approach based on what we term self-understanding, by which we mean the explicit representation of and reasoning about what a system does and does not know, and how that knowledge changes under action. We present an architecture and a set of representations used in two robot systems that exhibit a limited degree of autonomous mental development, which we term self-extension. The contributions include: representations of gaps and uncertainty for specific kinds of knowledge, and a goal management and planning system for setting and achieving learning goals.
Place, publisher, year, edition, pages
2010. Vol. 2, no 4, 282-303 p.
Architectures, representations, robot learning, robotics
Computer Vision and Robotics (Autonomous Systems)
IdentifiersURN: urn:nbn:se:kth:diva-41807DOI: 10.1109/TAMD.2010.2090149ISI: 000294902400003ScopusID: 2-s2.0-78650124256OAI: oai:DiVA.org:kth-41807DiVA: diva2:445119
QC 201110032011-10-032011-10-032011-10-03Bibliographically approved